{"id":1697,"date":"2017-01-31T08:59:51","date_gmt":"2017-01-31T08:59:51","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=1697"},"modified":"2017-02-01T13:34:49","modified_gmt":"2017-02-01T13:34:49","slug":"ieee-optimization-competition","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/it\/ieee-optimization-competition\/","title":{"rendered":"Concorso di ottimizzazione IEEE"},"content":{"rendered":"<p><strong>BANDO DI CONCORSO<\/strong><\/p>\n<p><strong>\u00a0<\/strong>L'ottimizzazione euristica ha subito sviluppi significativi negli ultimi anni. Utilizzando diversi meccanismi innovativi per migliorare l'esplorazione e lo sfruttamento della ricerca, i moderni strumenti di ottimizzazione euristica hanno dimostrato una grande promessa per risolvere problemi del mondo reale con alta complessit\u00e0 matematica.<\/p>\n<p>Il gruppo di lavoro sull'ottimizzazione euristica moderna nell'ambito del comitato IEEE PES Power System Analysis, Computing, and Economics sta organizzando una sessione del pannello combinata con una competizione intitolata:<\/p>\n<p>\"<strong>Valutazione delle prestazioni dei moderni ottimizzatori euristici\u00a0<\/strong><strong>sui problemi di funzionamento delle reti intelligenti\".<\/strong><\/p>\n<p>La sessione si terr\u00e0 al 2017 IEEE PES General Meeting. Questo pannello e la competizione riguardano due test bed di ottimizzazione difficili da risolvere:<\/p>\n<p>i) Dispacciamento di potenza attivo-reattiva basato su OPF stocastico;<\/p>\n<p><strong>Sviluppatori: Sergio Rivera (Universidad Nacional de Colombia), Andres Romero (Universidad Nacional de San Juan), Jos\u00e9 Rueda (Delft University of Technology), Kwang Y. Lee (Baylor University), Istv\u00e1n Erlich (Universit\u00e0 Duisburg-Essen)<\/strong><\/p>\n<p>ii) Programmazione ottimale delle risorse energetiche distribuite. Tutti i ricercatori interessati sono gentilmente invitati a far parte di questa iniziativa e a verificare l'efficacia dei loro algoritmi su questi impegnativi banchi di prova.<\/p>\n<p><strong>Sviluppatori: Zita Vale e Jo\u00e3o Soares (Istituto di Ingegneria - Politecnico di Porto)<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Le definizioni dei problemi e le linee guida di implementazione, cos\u00ec come i codici Matlab per il\u00a0<strong>La suite di test pu\u00f2 essere scaricata da\u00a0<\/strong><a href=\"http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/\">http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/<\/a>.<\/p>\n<p>o<\/p>\n<p><a href=\"https:\/\/www.researchgate.net\/project\/2017-Grid-Optimization-Competition-Design-Application-of-Modern-Heuristic-Optimization-Algorithms-Considering-the-Stochastic-Behavior-of-Wind-Solar-and-Small-Hydro-Generation-for-Solving-Optimal-Acti\">https:\/\/www.researchgate.net\/project\/2017-Grid-Optimization-Competition-Design-Application-of-Modern-Heuristic-Optimization-Algorithms-Considering-the-Stochastic-Behavior-of-Wind-Solar-and-Small-Hydro-Generation-for-Solving-Optimal-Acti<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>I risultati finali devono essere inviati a questo indirizzo e-mail fino a\u00a0<u>30 marzo 2017<\/u>\u00a0in conformit\u00e0 con le linee guida fornite. I codici di implementazione di ogni algoritmo che partecipa al concorso dovrebbero anche essere presentati insieme ai risultati finali. I codici presentati saranno di dominio pubblico e non si dovrebbe avanzare alcuna pretesa di propriet\u00e0 intellettuale.<\/p>\n<p>&nbsp;<\/p>\n<p>Gli organizzatori annunceranno i codici insieme a un'analisi comparativa basata sui risultati forniti tra aprile-maggio 2017 a\u00a0<a href=\"http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/\">http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/<\/a>.\u00a0<strong>I primi tre algoritmi classificati\u00a0<\/strong>saranno selezionati per la presentazione al panel, per il quale sono richieste solo presentazioni in PowerPoint.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong><u>Date importanti:<\/u><\/strong><\/p>\n<p>Bando di concorso:\u00a0<strong>14 gennaio 2017<\/strong><\/p>\n<p>Conferma della partecipazione:\u00a0<strong>30 gennaio 2017<\/strong><\/p>\n<p>Presentazione dei risultati e dei codici:\u00a0<strong>30 marzo 2017<\/strong><\/p>\n<p>Annuncio dei migliori tre algoritmi classificati:\u00a0<strong>28 aprile 2017<\/strong><\/p>\n<p>2017 IEEE PES General meeting:\u00a0<strong>16-20 luglio 2017<\/strong><\/p>\n<p>_________________________________<br \/>\nSergio Rivera, I.E., Ph.D.<br \/>\nProfessore assistente<br \/>\nDepto. de Ing. El\u00e9ctrica y Electr\u00f3nica<br \/>\nUniversit\u00e0 Nazionale della Colombia<br \/>\nCarrera 30 Calle 45. Ciudad Universitaria. Edificio 453<br \/>\nBogot\u00e0, Colombia<br \/>\nTel: (57 1) 3165000 ext. 14083<br \/>\nEmail: srriverar<a href=\"mailto:caacortesgu@unal.edu.co\">@unal.edu.co<\/a><\/p>\n<p>Web: \u00a0\u00a0<a href=\"http:\/\/amfarid.scripts.mit.edu\/people\/page12\/index.php\">http:\/\/amfarid.scripts.mit.edu\/people\/page12\/index.php<\/a><\/p>\n<p><a href=\"http:\/\/engineering.dartmouth.edu\/liines\/people\/sergio\/index.php\">http:\/\/engineering.dartmouth.edu\/liines\/people\/sergio\/index.php<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>CALL FOR COMPETITION \u00a0Heuristic optimization has undergone significant developments in recent years. By using different novel mechanisms for improved search exploration and exploitation, modern heuristic optimization tools have demonstrated a great promise for solving real world problems with high mathematical complexity. The Working Group on Modern Heuristic Optimization under the IEEE PES Power System Analysis,<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/it\/ieee-optimization-competition\/\" title=\"Per saperne di pi\u00f9\">Per saperne di pi\u00f9<\/a><\/div>","protected":false},"author":15,"featured_media":1710,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[247],"tags":[222,249,248,250,251],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>IEEE Optimization Competition - The Kolabtree Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/ieee-optimization-competition\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IEEE Optimization Competition\" \/>\n<meta property=\"og:description\" content=\"CALL FOR COMPETITION \u00a0Heuristic optimization has undergone significant developments in recent years. By using different novel mechanisms for improved search exploration and exploitation, modern heuristic optimization tools have demonstrated a great promise for solving real world problems with high mathematical complexity. The Working Group on Modern Heuristic Optimization under the IEEE PES Power System Analysis,Read More\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/it\/ieee-optimization-competition\/\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2017-01-31T08:59:51+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2017-02-01T13:34:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2017\/01\/algorithm.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"775\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sergio Rivera\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sergio Rivera\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minuti\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"IEEE Optimization Competition - The Kolabtree Blog","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.kolabtree.com\/blog\/it\/ieee-optimization-competition\/","og_locale":"it_IT","og_type":"article","og_title":"IEEE Optimization Competition","og_description":"CALL FOR COMPETITION \u00a0Heuristic optimization has undergone significant developments in recent years. By using different novel mechanisms for improved search exploration and exploitation, modern heuristic optimization tools have demonstrated a great promise for solving real world problems with high mathematical complexity. The Working Group on Modern Heuristic Optimization under the IEEE PES Power System Analysis,Read More","og_url":"https:\/\/www.kolabtree.com\/blog\/it\/ieee-optimization-competition\/","og_site_name":"The Kolabtree Blog","article_publisher":"https:\/\/www.facebook.com\/kolabtree","article_published_time":"2017-01-31T08:59:51+00:00","article_modified_time":"2017-02-01T13:34:49+00:00","og_image":[{"width":775,"height":720,"url":"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2017\/01\/algorithm.jpg","type":"image\/jpeg"}],"author":"Sergio Rivera","twitter_card":"summary_large_image","twitter_creator":"@kolabtree","twitter_site":"@kolabtree","twitter_misc":{"Scritto da":"Sergio Rivera","Tempo di lettura stimato":"2 minuti"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.kolabtree.com\/blog\/ja\/ieee-optimization-competition\/#article","isPartOf":{"@id":"https:\/\/www.kolabtree.com\/blog\/ja\/ieee-optimization-competition\/"},"author":{"name":"Sergio Rivera","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/person\/52276da83f10e42785feb559bd8e7082"},"headline":"IEEE Optimization Competition","datePublished":"2017-01-31T08:59:51+00:00","dateModified":"2017-02-01T13:34:49+00:00","mainEntityOfPage":{"@id":"https:\/\/www.kolabtree.com\/blog\/ja\/ieee-optimization-competition\/"},"wordCount":404,"commentCount":0,"publisher":{"@id":"https:\/\/www.kolabtree.com\/blog\/#organization"},"keywords":["featured","Heuristic optimization","IEEE","Smart Grid Operation Problems","Universidad Nacional de Colombia"],"articleSection":["Guest posts"],"inLanguage":"it-IT","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.kolabtree.com\/blog\/ja\/ieee-optimization-competition\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.kolabtree.com\/blog\/ja\/ieee-optimization-competition\/","url":"https:\/\/www.kolabtree.com\/blog\/ja\/ieee-optimization-competition\/","name":"IEEE Optimization Competition - 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